Package: PieceExpIntensity 1.0.4

PieceExpIntensity: Bayesian Model to Find Changepoints Based on Rates and Count Data

This function fits a reversible jump Bayesian piecewise exponential model that also includes the intensity of each event considered along with the rate of events.

Authors:Andrew G. Chapple

PieceExpIntensity_1.0.4.tar.gz
PieceExpIntensity_1.0.4.zip(r-4.7)PieceExpIntensity_1.0.4.zip(r-4.6)PieceExpIntensity_1.0.4.zip(r-4.5)
PieceExpIntensity_1.0.4.tgz(r-4.6-x86_64)PieceExpIntensity_1.0.4.tgz(r-4.6-arm64)PieceExpIntensity_1.0.4.tgz(r-4.5-x86_64)PieceExpIntensity_1.0.4.tgz(r-4.5-arm64)
PieceExpIntensity_1.0.4.tar.gz(r-4.7-arm64)PieceExpIntensity_1.0.4.tar.gz(r-4.7-x86_64)PieceExpIntensity_1.0.4.tar.gz(r-4.6-arm64)PieceExpIntensity_1.0.4.tar.gz(r-4.6-x86_64)
PieceExpIntensity_1.0.4.tgz(r-4.6-emscripten)
manual.pdf |manual.html✨
card.svg |card.png
PieceExpIntensity/json (API)

# Install 'PieceExpIntensity' in R:
install.packages('PieceExpIntensity', repos = c('https://andrewchapple21.r-universe.dev', 'https://cloud.r-project.org'))
Uses libs:
  • c++– GNU Standard C++ Library v3

On CRAN:

Conda:

This package does not link to any Github/Gitlab/R-forge repository. No issue tracker or development information is available.

cpp

1.00 score 38 downloads 2 exports 2 dependencies

Last updated from:53d2420ee5. Checks:13 OK. Indexed: yes.

TargetResultTimeFilesSyslog
linux-devel-arm64OK112
linux-devel-x86_64OK106
source / vignettesOK147
linux-release-arm64OK116
linux-release-x86_64OK104
macos-release-arm64OK159
macos-release-x86_64OK244
macos-oldrel-arm64OK196
macos-oldrel-x86_64OK320
windows-develOK108
windows-releaseOK125
windows-oldrelOK98
wasm-releaseOK101

Exports:PieceExpIntensityPieceExpIntensity2

Dependencies:RcppRcppArmadillo